Learn how Databuddy and HitKeep differ in their key features, development activity, technology stack and community adoption, so you can decide which of these web analytics is best for you.
Last 30 days
Last commit
Repository age
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License
Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Databuddy and HitKeep have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Databuddy significantly outpaces HitKeep in community adoption with 1,171 stars compared to 92 stars on GitHub. This 12.7x difference suggests Databuddy has a much larger and more active community. In terms of developer contributions, Databuddy has 220 forks, indicating moderate developer engagement.
Both projects show recent activity, with Databuddy last updated 1 day ago and HitKeep 2 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Databuddy uses JSX, Next.js, Rust while HitKeep leverages Golang, SCSS.
Both projects started around the same time, with Databuddy beginning 2 years ago and HitKeep 11 months ago.
HitKeep uses the MIT license, which is more permissive than Databuddy's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy also focuses on Product Analytics.
Both Databuddy and HitKeep offer self-hosting capabilities, giving you full control over your data and infrastructure.
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